perf

To detect performance regressions, analyze modified code sections like critical API endpoints to flag potential runtime degradations before merging. This process identifies performance bottlenecks and anti-patterns, ensuring stable application performance without direct code modification.

Algorithmic complexity analysis assesses the time and space complexity of functions and methods. You need this when evaluating hot-path code or database queries to identify performance anti-patterns and ensure efficient runtime behavior under load.

Analyze database queries and render logic by scanning for common performance anti-patterns within the code. The analysis reports findings with severity levels, highlighting inefficient operations in hot-path code that could cause runtime bottlenecks.

Yes, you can check code performance without modifying source files. The analysis focuses on identifying bottlenecks and regressions in existing code, reporting severity levels of anti-patterns to ensure efficient application performance safely.

To enforce a performance quality gate, trigger analysis on recently modified files before merging. This detects potential runtime regressions and algorithmic complexity issues, reporting severity levels to block performance degradations from entering production.